157 results about "Population data" patented technology

By using monitoring data, feedback data, and pooling of failure data from a plurality of electronic devices, real-time failure prediction and diagnoses of electronic systems operating in a network environment can be achieved. First, the diagnostic system requests data on the state of a machine and / or its components and collections thereof as part of the machine's normal operation. Secondly, real-time processing of the data either at the machine site or elsewhere in the distributed network allows for predicting or diagnosing system failures. Having determined and / or predicted a system failure, a communication to one or more remote observers in the network allows the remote observers to view the diagnostic information and / or required action to repair the failure. Furthermore, interrogation of either the particular electronic system, or a database containing data on similar electronic systems by the diagnostic server allows the diagnostic server to refine original diagnoses based on this population data to achieve a comprehensive failure predication / diagnosing system.

The present invention provides interactive and automated methods and systems that facilitate the improved stewardship of broadcast advertising by all industry participants. The system employs data from multiple sources, such as agency media management systems; broadcaster inventory and sales management systems; agency and broadcaster traffic management systems; and the ConfirMedia® broadcast monitoring system developed by Verance Corporation; as well as from third-party industry data sources such as electronic program guides, broadcaster and market population data, and audience rating services, to allow the fulfillment of broadcast advertising agreements to be verified and accounted for, and for discrepancies between various data sources to be identified and resolved.

A loan opportunity system is configured to analyze loan data and / or population data in order to determine loan opportunities for a lender, such as a credit union. In one embodiment a lender is initially provided with one or more estimated loan opportunity indicators, such as indicators of quantities of loans in a specific geographic region for which the lender can likely offer lower rates. Subsequently, upon completion of a payment agreement with a loan opportunity provider, for example, and establishment of loan parameters associated with borrowers (and their existing loans) to which the lender would like to make firm offers of credit, the lender is provided with a loan opportunity list indicating details of borrowers and their respective loans for which the particular lender can likely offer lower rates.

A method and system for managing customer service processes for individual customers and populations of customers. In a specific embodiment within the health care field, a clinician creates or updates a draft care plan for a patient using generic or locally-adapted template metadata and tailors the draft care plan to the particular patient. The draft care plan includes a list of specific services (health care interventions) to be provided to the patient. The draft care plan can be routed to members of an inter-disciplinary team for input. Once finalized, workflow processes are instantiated for each intervention on the care plan. An itinerary is created for any required patient encounters, optimized using an algorithm that considers pre-existing process instances. A workflow automation server manages the execution of each workflow process instance, invoking resources according to workflow process specification metadata and workflow task type metadata. Care plans and encounter itineraries are automatically translated to a patient-understandable form and made available to patients online and via printed copy. Clinical practice and outcomes data are analyzed to identify opportunities for improvement of the metadata. The method and system also allows for the selection of a population of patients, the analysis of population data to identify opportunities for interventions (needed services), and the initiation of population interventions through batch updates to individual care plans.

Disclosed is a method and system for recommending locations keyed to a map database system and providing navigation instructions to the recommended locations to a driver of a vehicle by gathering actual statistics about the preferences of the user and / or by comparing the user to population data to create recommendations in accord with the preferences of the population.

A method and system for managing customer service processes for individual customers and populations of customers. In a specific embodiment within the health care field, a clinician creates or updates a draft care plan for a patient using generic or locally-adapted template metadata and tailors the draft care plan to the particular patient. The draft care plan includes a list of specific services (health care interventions) to be provided to the patient. The draft care plan can be routed to members of an inter-disciplinary team for input. Once finalized, workflow processes are instantiated for each intervention on the care plan. An itinerary is created for any required patient encounters, optimized using an algorithm that considers pre-existing process instances. A workflow automation server manages the execution of each workflow process instance, invoking resources according to workflow process specification metadata and workflow task type metadata. Care plans and encounter itineraries are automatically translated to a patient-understandable form and made available to patients online and via printed copy. Clinical practice and outcomes data are analyzed to identify opportunities for improvement of the metadata. The method and system also allows for the selection of a population of patients, the analysis of population data to identify opportunities for interventions (needed services), and the initiation of population interventions through batch updates to individual care plans.

A method for assessing the state of the condition of asthma in a patient may involve sensing individual patient data using one or more sensors on or near the patient, transmitting the individual patient data to a processor, comparing, with the processor, the individual patient data with baseline patient data related to the patient and / or population data related to a patient population comparable to the patient, to provide comparison data, and providing an assessment of the current state of the patient's asthma condition, based on the comparison data. In some embodiments, the individual patient data is related to at least one physiological parameter of the patient, and at least one of the sensors is a passive sensor that does not require the patient to apply it or activate it.

The invention relates to a method and a system for estimating population density in urban built-up areas coordinated by spatial big data. The method comprises the following steps: obtaining a buildingrange based on an object-oriented classification method by utilizing high-resolution optical remote sensing data; dividing urban blocks through a spatial topology algorithm by utilizing spatial big data of an urban fine road network, and dividing the urban blocks into residential areas and non-residential areas by combination with spatial big data of points of interest; obtaining building heightby utilizing remote sensing optical three-dimensional imaging data; constructing a population density estimation model by utilizing a multiple regression analysis method according to the building height and the building range and by combination with population statistical data; and inputting the building range and the building height as input variables into the population density estimation model,performing calculation to obtain population density, and then, assigning the population density to regular grid space corresponding to urban built-up areas by utilizing a spatial statistical analysismethod. The method and the system can precisely and accurately realize estimation of the population density in the built-up urban areas, are more suitable for requirements of urban planning, disasterprevention and reduction and business decision for fine population data, and are beneficial to further popularization and application.

Disclosed is a method and system for recommending locations keyed to a map database system and providing navigation instructions to the recommended locations to a driver of a vehicle by gathering actual statistics about the preferences of the user and / or by comparing the user to population data to create recommendations in accord with the preferences of the population.

Systems and methods for individual risk factor identification include identifying common risk factors for one or more risk targets from population data. Individuals are stratified into clusters based upon the common risk factors. A discriminability of each of the common risk factors is determined, using a processor, for a target cluster using individual data of the target cluster to provide re-ranked common risk factors as individual risk factors for the target cluster, such that the discriminability is a measure of how a risk factor discriminates its cluster from other clusters.

Disclosed is a projector and data processing method and system for recommending digital media content to a user. The method and system gather statistics about the preferences of the user and / or compare the user to population data to create recommendations in accord with the preferences of the population. The population data may be qualified by demographics or other factors classifying the user. Sources of the digital media content include radio broadcast television broadcast, global computer network content, email, and personal organizing software / programs.

The invention discloses a spatial visualization system of statistical population information and a method thereof. The spatial visualization system comprises: a database which is used for storing population attribute data and basic spatial population data for various functional modules to obtain the required population attribute data and basic spatial population data; a statistical population datamanagement module which is used for obtaining basic conditions of the population attribute data and managing the population attribute data; a spatial population data management module which is used for obtaining the basic spatial population data and providing an electronic map data platform based on the basic spatial population data so as to manage the basic spatial population data; and a statistical population and spatial data combination module which is used for correlating the population attribute data with the spatial population data, and converting the statistical population data into avisualized map image based on preset thematic symbols. The system and the method have the advantages of spatialization statistics and expression of population information, thus vividly expressing regional difference and distribution characteristics of population.

Systems and methods for individual risk factor identification include identifying common risk factors for one or more risk targets from population data. Individuals are stratified into clusters based upon the common risk factors. A discriminability of each of the common risk factors is determined, using a processor, for a target cluster using individual data of the target cluster to provide re-ranked common risk factors as individual risk factors for the target cluster, such that the discriminability is a measure of how a risk factor discriminates its cluster from other clusters.

The invention provides an identity identification method and device for suspects based on large video data. The identity identification method comprises the following steps: receiving suspect characteristic information transmitted by a user; carrying out cluster retrieval on a moving target which is matched with the suspect characteristic information from a moving target characteristic database, and extracting characteristic information which is corresponding to the moving target; obtaining base station data corresponding to the characteristic information within a motion range according to the extracted characteristic information; extracting suspect identity information matched with the moving target from an identity information platform device according to the base station data corresponding to the characteristic information within the motion range. The identity identification method is combined with multi-aspect resources of the moving target characteristic database, the base station data, resident population data in the identity information platform device and the like to carry out comprehensive collision retrieval, so that accurate video suspect identity information can be obtained to greatly improve the accuracy and success rate of the suspect identity information identification; furthermore, a large data analysis and processing technology is used, so that a large number of high-speed changeable complex scenes can be dealt, and the timeliness is better.

A method for remotely monitoring and gathering information about a plurality of vehicles, including the steps of accessing the plurality of vehicles wherein each vehicle is individually operated, selecting vehicle data from the plurality of vehicles, communicating the vehicle data from the plurality of vehicles to a remote processor, and processing the plurality of vehicle data into population data by the remote processor. The individual operation of each vehicle preferably includes the steps of generating vehicle data, operating the vehicle based on the vehicle data with a vehicle controller, and storing the vehicle data in a database located on the vehicle.

The invention discloses a meteorological service performance evaluation method based on a geographical information system (GIS), which is used for carrying out meteorological service performance analysis and evaluation by comprehensively utilizing a neural network method, an analytic hierarchy process, a structural equation method, a gray system method and a statistical analysis technique through using corresponding social statistics and survey data. The method is used for carrying out uniform control and management on hydrologic information, humanity information and meteorological information in a researched region by using a cartographic database and remote sensing data as basis geospatial data through using population data, casualty loss data and geographical hydrologic thematic data based on a GIS technology and a database technology by adopting a design mode of centralized management and maintenance. The invention realizes graphic and feature integrated maintenance management, comprehensive query, space analysis, thematic map, simulation analysis and meteorological service evaluation functions, improves the informatization level and the aid decision making capability of the meteorological service evaluation, and provides aid decision basis for the geographical hydrologic management and the meteorological service performance evaluation.

A method for perceive and processing multidimensional information including multidimensional data acquisition, multidimensional data joint processing and after-processing data application, The multi-dimensional data collection includes bayonet passing data, wifi probe detection data, multi-dimensional perception door collection data, face data taken by human face equipment, rfid record data, electronic fence collection data, etc., and collects 110 police information, police force, case, population data, Internet cafe hotel, hotel accommodation, intelligent police kiosk, smart community and other data; Multi-dimensional data joint processing includes spatial clustering analysis and relational map analysis. The application of processed data includes: portrait early warning, accompanying personnel analysis, foothold analysis, lingering vehicle analysis, time-space intersection analysis, peer analysis, daytime and nighttime analysis, daily routine analysis, vehicle decoration analysis, deployment analysis, and crime pattern analysis.

A cellular phone accumulates input information, which is inputted by a user using the cellular phone located not only inside but also outside of a vehicle, as parent population data for interest extraction, and extracts interest information, which reflects a present interest of a user, from the parent population data for interest extraction. An in-vehicle information output apparatus internally or externally collects provision information, which matches the interest information extracted in the cellular phone, and provides the user with the collected provision information.

Provided is an apparatus and method for controlling seed population for a conventional row crop planter utilizing a microprocessor, information from a seed population controller provided with the conventional row crop planter, a GPS or other locating or positioning device and motors for driving the conventional seed metering system of the planter. The microprocessor further feedback from the motors and compares the actual seed population data with the desired density and adjusts the output of the motors to compensate for variations in seed population densities.

Systems and methods are provided that allow for generating and applying an improved predictive data model that aggregates two or more models performed sequentially, for the purposes of improving the prediction of overall profitability of individuals or households in a population. The models may be generated by the processing of customer profitability data and third-party population data together. One of the two aggregated models may be an inherently probabilistic, binary model tasked with determining whether an individual is a high-loss individual and using that result to improve the predictive capability of the system.

The invention discloses a population data spatialization method and system based on partition modeling, and a medium. The method comprises the following steps: collecting an original data source of aresearch area, which influences spatial distribution of population, and carrying out pre-processing; carrying out gridding processing on the data based on a geographic detector model, carrying out standardization processing after obtaining a population distribution influence index, and preliminarily screening out a population distribution influence factor; dividing the research area into a plurality of partitions, and respectively rescreening the population distribution influence factors of the partitions; and meanwhile, establishing a stepwise regression equation and a random forest model, performing precision comparative analysis on the population data spatialization result of each partition, selecting an optimal simulation result in each partition as a population data spatialization final result of each partition, and performing combination to obtain a population spatial distribution simulation schematic diagram. According to the method, the research area can be partitioned based onpartition modeling, the population data spatialization model of each partition can be constructed, and the accuracy and efficiency of population spatial distribution simulation are improved.

The invention discloses a random forest model-based population data spatialization method. According to the method, population distribution-related variable factors such as surface coverage data and lamp light data are selected; the population distribution-related variable factors are pre-processed, and the pre-processed population distribution-related variable factors are inputted into a random forest model; the relationship between population density and the variable factors, and the importance of the variable factors are determined through using the random forest model; the population density of each grid is obtained through inversion based on the relationship; and an estimation result is corrected through regional density charting, so that a gridded population distribution result can be obtained. With the method adopted, the precision of population data spatialization can be further improved, and the importance of the variable factors are interpreted.

The invention discloses a demographic method and a demographic system for improving spatial resolution and updating a speed, wherein the method comprises a population database establishment step, a regional statistical analysis step, a spatial model analysis step and a grid demographic step, wherein the population database establishment step is used for storing relevant population data with a uniform spatial coordinate parameter, a data format and a metadata standard; the regional statistical analysis step is used for using a land utilization map as a main data source and carrying out spatial region statistical analysis according to a preset region to obtain land utilization area information of a minimal administrative division unit of the preset region; the spatial model analysis step is used for utilizing a population spatialization model to obtain population distribution information of the land utilization type in the minimal administrative division unit according to the land utilization area information of the minimal administrative division unit and demographic information of the minimal administrative division unit, and the grid demographic step is used for acquiring grid demographic information according to the population distribution information of the land utilization type and the land utilization area information.

A system for generating measurable indexes for providing a total wellness assessment of an individual is provided. The system can include a communications interface for accessing databases of population data derived from samplings of populations. The system further can include an integration and synthesis engine for generating weighting factors based upon a combination of the data, each weighting factor corresponding to a body region of the individual or to a health condition associated with the individual and based upon the population data. The system also can include a conditions capture engine for capturing individual-specific data corresponding to predetermined health conditions. The system can further include a modeling tool for combining the weighting factors with the individual-specific data. Moreover, the system can include a quotient generator for generating an overall health score corresponding to the individual based on the combining of weighting factors, population data, and individual-specific data.

A system, method and program product for matching members of a population, e.g., patients, based on member similarities. Patients are mapped to a bipartite graph with patient nodes connected by weighted edges to clustered factor nodes, are clustered categorically. As a new patient query is received, a similarity measure for each other patient is generated for each cluster by comparing cluster edges. The cluster similarity measures are aggregated for each patient to provide a global closeness measure to every other patient. Based on the global closeness measure, a list of the closest patients is displayed and measurement feedback may be provided.

A system for generating measurable indexes for providing a total wellness assessment of an individual is provided. The system can include a data communications interface for accessing a plurality of databases of population data derived from samplings of one or more populations. The system further can include an integration and synthesis engine for generating a plurality of weighting factors based upon a predetermined combination of the data, each weighting factor corresponding to a predetermined body region of the individual or to a predetermined health condition associated with the individual and based upon the population data. The system also can include a conditions capture engine for capturing individual-specific data corresponding to a set of predetermined of health conditions associated with the individual. The system can further include a modeling tool for combining at least one of the plurality of weighting factors with the individual-specific data corresponding to a set of predetermined of health conditions associated with the individual. Moreover, the system can include a quotient generator for generating an individual-specific overall health score corresponding to the individual based on the combining of weighting factors, population data, and individual-specific data.

The invention relates to a method for estimating the spatial and temporal distribution of urban population based on nighttime light remote sensing data. Nighttime lighting data of urban areas are extracted; modeling is carried out on all year-by-year urban population data and a regression equation of a total lighting value and urban population time is established, and population prediction is carried out based on the regression equation; rough spatial distribution of the population is obtained based on the extracted nighttime lighting data of urban areas; spatial clustering is carried out on the nighttime lighting data; and points with the adjacent spatial positions and similar light values are clustered into one class to obtain a clustering result, statistics of each kind of weighted average light values is carried out, wherein the higher the average value, the corresponding urban scale larger. According to the invention, a defect of low time resolution of the traditional statisticaldata is overcome based on the urban population after regression model prediction. Besides, spatial expression is carried out on the population by lighting data, so that defects of low spatial resolution and unapparent spatial distribution characteristics of the traditional statistical data are overcome.

The invention discloses a vaccination information management system based on an internet cloud technology. The vaccination information management system comprises a data acquisition module, an APP client-side, a server, a health consultation recommendation module and a high-quality commodity free recommendation module, the data acquisition module, the APP client-side and the server are connected through the internet, and the server is further connected with the health consultation recommendation module and the high-quality commodity free recommendation module through the internet, wherein a special team is in charge of both the health consultation recommendation module and the high-quality commodity free recommendation module. The vaccination information management system based on the internet cloud technology achieves informatization, intellectualization, facilitation and precision of child vaccination work, achieves the situation that parents give inoculation to a baby accurately, timely, conveniently and satisfactorily and achieves accurate statistics of population data of different age groups in a national big data era.

The invention provides a personal behavior analysis apparatus capable of statistically analyzing a personal behavior. To analyze personal behaviors, a population data file is provided that stores flow-line data for individual persons as a population acquired by tracking the behaviors of persons within a monitored area. After input of a condition for narrowing down the flow-line data as analysis objects is accepted via a condition input section, the population data file is searched based on the condition and flow-line data meeting the condition is acquired. The acquired flow-line data is stored in a subpopulation data file as a subpopulation. A control section of the apparatus calculates statistics values related to personal behavior analysis using the flow-line data stored in the subpopulation data file and displays them on a display section.

A genetic algorithm architecture implements a two-stage completion genetic algorithm with respect to an evolving current population data set. The two-stage completion genetic algorithm that includes genotype and phenotype completion loops. The genotype completion loop operates to compete the current population data set based on genotype field fitness scores. The genotype completion loop also implements a phenogenesis operator used to generate a current phenotype set. The phenotype completion loop operates, concurrently with the genotype completion loop, to evaluate the current phenotype set, constrained relative to the current population data set, against a fitness function to produce phenotype fitness scores. The phenotype completion loop implements a genotype reduction operator that then determines corresponding genotype fitness scores for use as the basis for competition in the genotype completion loop.